activity
20122022
most citedUnderstanding Data Storage and Ingestion for Large-Scale Deep Recommendation Model Training

77 citations · 181 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2022★ 5 cited

Revisiting Weakly Supervised Pre-Training of Visual Perception Models

Mannat Singh, Laura Gustafson, Aaron Adcock +7

Model pre-training is a cornerstone of modern visual recognition systems. Although fully supervised pre-training on datasets like ImageNet is still the de-facto standard, recent st…

cs.DC2021★ 77 cited

Understanding Data Storage and Ingestion for Large-Scale Deep Recommendation Model Training

Mark Zhao, Niket Agarwal, Aarti Basant +14

Datacenter-scale AI training clusters consisting of thousands of domain-specific accelerators (DSA) are used to train increasingly-complex deep learning models. These clusters rely…

cs.DB2020★ 1 cited

SLIM: Scalable Linkage of Mobility Data

Fuat Basık, Hakan Ferhatosmanoğlu, Buğra Gedik

We present a scalable solution to link entities across mobility datasets using their spatio-temporal information. This is a fundamental problem in many applications such as linking…

cs.MA2018★ 74 cited

Fair Task Allocation in Crowdsourced Delivery

Fuat Basik, Bugra Gedik, Hakan Ferhatosmanoglu +1

Faster and more cost-efficient, crowdsourced delivery is needed to meet the growing customer demands of many industries, including online shopping, on-demand local delivery, and on…

cs.DB2018★ 16 cited

Spatio-Temporal Linkage over Location Enhanced Services

Fuat Basık, Buğra Gedik, Çağrı Etemoğlu +1

We are witnessing an enormous growth in the volume of data generated by various online services. An important portion of this data contains geographic references, since many of the…

cs.SI2018★ 8 cited

Topic-Based Influence Computation in Social Networks under Resource Constraints

Kaan Bingöl, Bahaeddin Eravcı, Çağrı Özgenç Etemoğlu +2

As social networks are constantly changing and evolving, methods to analyze dynamic social networks are becoming more important in understanding social trends. However, due to the…

cs.DB2012

Building User-defined Runtime Adaptation Routines for Stream Processing Applications

Gabriela Jacques-Silva, Buğra Gedik, Rohit Wagle +2

Stream processing applications are deployed as continuous queries that run from the time of their submission until their cancellation. This deployment mode limits developers who ne…